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Register a new userService Restoration of Electrical Distribution Systems to Increase the Reliability Using Genetic Algorithms
استعادة الخدمة في نظم توزيع القدرة الكهربائية لزيادة موثوقيتها باستخدام الخوارزميات الجينية
1991
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مع تزايد استخدام التكنولوجيا و الأتمتة في مختلف مناحي الحياة الحديثة، أصبح انقطاع التغذية الكهربائية ذا تأثير كبير يؤدي إلى اضطراب، و ربما إلى شلل تام في مسار الحياة اليومية لمعظم القطاعات سواء الصناعية أو الاقتصادية أو حتى الترفيهية. لذلك أصبح من الضروري الوصول إلى نظام كهربائي ذي موثوقية عالية لتأمين استمرارية التغذية الكهربائية للمستهلك. بناء على ما تقدم نقوم في هذا البحث بدراسة طريقة جديدة لاستعادة الخدمة في شبكات التوزيع الكهربائية باستخدام الخوارزميات الجينية من أجل رفع موثوقية أنظمة التوزيع الكهربائية و تحسين أدائها، و يتضمن البحث لمحة عن موثوقية النظم الكهربائية فضلاً عن المبادئ الأساسية للخوارزميات الجينية و كيفية استخدام هذه التقنيات في استعادة الخدمة في مراكز التنسيق. فضلاً عن ذلك صمم برنامج حاسوبي ضمن بيئة (MATLAB) لتطبيق تقنية استعادة الخدمة باستخدام الخوارزمية الجينية، كما اختُبِر هذا البرنامج على مثال تطبيقي مع توضيح النتائج الموافقة .
With the increasing use of technologies and automation in different sides of modern life, the outage of electricity became a big issue that widely affects the daily life of most sectors like industrial, economical or even entertaining sector. So it became so necessary to achieve a high-reliability electrical system to insure the continuation of electricity supply to the end consumer. Consequently, in this research, we are studying a new method of service restoration using genetic algorithms to increase the reliability of distribution systems and improving its performance. The research includes a brief aver view of electrical systems reliability and the basics of Genetic Algorithms and the use of these techniques in dispatching centers. In addition we have designed a program in "MATLAB" environment to apply the service restoration technique using genetic algorithms, and the program has been tested on a case study with the relative results shown .
References used
Roy Billinton , Ronald N. Allan " Reliability Evaluationof Power Systems " Second Edition . Plenum Press . New York and London
Yuan-Yih Hsu, S.K. Peng, H.S.Yu k"Distribution system service restoration using a heuristic search approach " 0-7803- 1991 IEEE
(A. Augugliaro , L. Dusonchet, E. Riva Sanseverino " Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets" Electrical Power and Energy Systems 22 (2000
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In this paper, a modern method of restoring service in electrical
power systems was examined through an automated
coordination center using genetic algorithms.
Scientists nowadays increased their interest in artificial intelligence because
of the rapid development in the modern age. This development increased
the complexity of systems in order to consent society rapid needs in getting
systems of better r
eliability and high performance.
Artificial Intelligence solved many difficult and sticky problems.
We are going to define the genetic algorithms(GA) which is one of the
artificial intelligence branch because of its ability to solve many complex
problems in Different scientific aspects either in computer science[8] or
operational research and image processing[7] or social science[9].
In this essay, we used GA to find the maximum value of continuous function
within a limited rang to study the effect of some of the most important GA
parameters on the performance and accuracy of the results. We noticed the
effects of probability of mutation, population size and the number of the
repeated operations on the results accuracy and execution time in choosing
the Roulette Wheel Selection procedure. After that, we compare
between the Roulette Wheel procedure and the Elitism Selection procedure.
Operating the electrical power systems at normal conditions is our goal always. This
is what represents the ideal state of electrical power system work. Hence, the electrical
power system work in case of insufficient electrical power requires avoid
ing since it leads
to big losses in national economy.
These losses could be huge when we talk about connection borders between systems
as per overload frame, because of lack of electrical power request. The impact of these
conditions could be noticeably decreased at a reasonable limit of electrical power request.
When we find out the optimal solution of electrical power systems operation and the
communication lines between them while considering the losses of consumers
disconnecting that guarantee the stability of loads. Finally, it is so at full use of maneuver
(available cases) spare power properties when applying the instant correction of regime.
This paper studies the basic approach to solve these issues which imply the reliability
definitions.
After selecting real seismic records it is necessary to scale these records to match the intensity of the earthquake expected for the site. Generally, scaling can be made by ground motions uniform scaling in time domain which is simply scaled up or d
own the ground motions uniformly to best match (in average) the target spectrum within a period range of interest. It’s an engineer’s job to find the best scaling factors to best match the target spectrum, which is a complex task, so we employed the Genetic Algorithm (GA) in finding those scaling factors to achieve the best results.
Genetic Algorithms (GAs) are probably the best-known types of artificial evolution search methods based on natural selection and mechanisms of population genetics. These algorithms are often applied to large, complex problems that are non-linear with multiple local optima.
The power of the genetic algorithms is inherent in its capability to adapt. In natural systems, species adapt to the environment through successive interactions and generations subject to the environment. After several consecutive generations, only those species that can adapt well to the environment survive and the rest disappear. In mathematical terms, individuals are analogous to problem variables and environment is the stated problem. The final generation of the variable strings that can adapt to the problem is the solution.
In this study, basic methodologies of the GA and the scaling procedures are summarized and the scaling criteria of real time history records to satisfy the Syrian design code are discussed. The traditional time domain scaling procedures and the scaling procedures using GA are used to scale a number of the available real records to match the Syrian design spectra. The resulting time histories of the procedures are investigated and compared in terms of meeting criteria.
Application Of Object Oriented Programing OOP concept and the C++.
Pascal programming language to power system simulation has been
explored. An efficient platform for power system simulation applications
has been proposed. By emulationg a physical
power lap, a generic power
network container has been build, a module. One load flow applications a
ac load flow have been discussed. It is found that the OOP based Pascal
load flow programs are as efficient as their non – OOP counterparts.
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